Business Intelligence Engineer, DSP Analytics

Global technology and e-commerce company focused on customer-centric innovation and delivery services.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics
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Description For Business Intelligence Engineer, DSP Analytics

Amazon's DSP Analytics Team is seeking a Business Intelligence Engineer to make an impact on the Amazon's Delivery Service Partner (DSP) program. This role focuses on improving delivery experiences through data-driven insights and solutions. You'll lead the DSP 360 product, providing end-to-end visibility into key business metrics and cross-program insights. Working with engineering teams, product managers, and org leaders, you'll deliver comprehensive data solutions to enhance DSP Experience.

The position offers opportunities to work with cutting-edge AWS technologies, manage large-scale data projects, and contribute to analytics roadmap development. You'll be part of a core Amazon DSP data analytics team focused on enabling data, insights, and science-driven decision-making. The team is known for its talented members and promotes an environment where ideas are shared freely to disrupt the status quo.

The role combines technical expertise in data analysis, ETL processes, and business intelligence with strategic thinking and stakeholder management. You'll use various tools including SQL, Python, and visualization platforms to derive actionable insights. The position offers competitive compensation based on location and experience, plus comprehensive benefits including equity and sign-on payments.

This is an excellent opportunity for someone who thrives in a fast-paced, ambiguous environment and wants to impact Amazon's delivery operations directly. The role requires both technical depth and business acumen, making it ideal for those who want to bridge data analytics with business strategy.

Last updated 16 days ago

Responsibilities For Business Intelligence Engineer, DSP Analytics

  • Own analytics roadmap for DSP 360 data product
  • Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools
  • Design, build, and maintain automated reporting, dashboards, and ongoing analysis
  • Report key insight trends using statistical rigor
  • Retrieve and analyze data using Amazon's data technologies
  • Work closely with business stakeholders and leadership team
  • Manage and execute entire projects from start to finish

Requirements For Business Intelligence Engineer, DSP Analytics

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience writing complex SQL queries
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python)

Benefits For Business Intelligence Engineer, DSP Analytics

Medical Insurance
Equity
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments

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